SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
Determine true root cause of fleet hardware failures — component and system level — and drive fixes through vendors to the manufacturer. Turn "swap it again" into "vendor redesign / firmware fix / manufacturing escape found."
RESPONSIBILITIES:- Own named failure classes across GPU trays/baseboards, NIC/DPU, motherboard/PCIe switch, memory, power, thermal, cables/connectors, and rack-scale patterns.
- Run recurrence analysis and fleet-wide defect clustering; detect systemic patterns before they become fleet-scale loss.
- Build vendor technical escalation packages with evidence quality that forces action; partner with OEM/ODM/component manufacturers on firmware, bring-up, and manufacturing escapes through committed CAPA.
- Feed findings into RMA policy, spare strategy, and "do not reseat forever" stop-rules.
- Work the FA intake queue on rotation; keep queue age within SLA
- Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience).
- 2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments.
- Proven expertise in firmware analysis, hardware specifications review, and release validation.
- Strong experience with RMA processes, including filing claims, vendor negotiations, and pushing for resolutions outside standard protocols.
- Demonstrated ability to diagnose and prove complex hardware failures, including grey or intermittent issues, using tools, logic analyzers, or diagnostic software.
- Familiarity with data center hardware components (e.g., servers, GPUs, networking equipment) and emerging technologies.
- Proficiency in scripting (Python, Bash) for automation and analysis, plus general experience in at least one systems language (C, C++, Java, Rust, or similar). Not required to be expert in all of them.
- Excellent problem-solving skills with a data-driven approach to reliability engineering.
- Ability to work collaboratively with cross-functional teams, including operations technicians.
- Experience in AI/ML infrastructure or supercomputing environments.
- Knowledge of vendor ecosystems (e.g., NVIDIA, Dell, HP, Supermicro) and supply chain management.
- Certifications in hardware engineering or reliability (e.g., CRE, CompTIA Server+).
- Prior work in a fast-paced startup or tech company like SpaceXSI.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Skills Required
- Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, a related field, or equivalent experience
- 2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments
- Expertise in firmware analysis, hardware specification review, and release validation
- Experience with RMA processes, vendor negotiations, and resolution escalation
- Ability to diagnose and prove complex, intermittent, or grey hardware failures using testing tools, logic analyzers, or diagnostic software
- Familiarity with data center hardware, including servers, GPUs, and networking equipment
- Proficiency in Python and Bash scripting, plus general experience with a systems language such as C, C++, Java, or Rust
- Strong data-driven problem-solving and reliability engineering skills
- Ability to collaborate with cross-functional teams and data center operations technicians
- Experience in AI/ML infrastructure or supercomputing environments
- Knowledge of vendor ecosystems such as NVIDIA, Dell, HP, or Supermicro and supply chain management
- Hardware engineering or reliability certification, such as CRE or CompTIA Server+
- Experience at a fast-paced startup or technology company
xAI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about xAI and has not been reviewed or approved by xAI.
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Healthcare Strength — Healthcare is described as comprehensive, including medical, dental, vision, mental health support, and fertility benefits. Additional protections such as disability and life insurance, plus HSA/FSA options, are also outlined.
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Equity Value & Accessibility — Equity is positioned as a core component of total rewards alongside high base salaries for technical roles. Pre‑IPO stock grants are highlighted as enabling participation in potential company growth.
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Leave & Time Off Breadth — The package includes flexible or generous PTO, paid holidays, and paid sick days. Company materials also describe flexible vacation policies intended to help manage fast‑paced workloads.
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